Digital system and method of estimating non-energy parameters of signal carrier

ABSTRACT

Navigation satellite receivers have a large number of channels, where phase discriminators and loop filter of a PLL operate in phase with data bits and control of numerically controlled oscillator (NCO) carried out simultaneously on all channels. Since symbol boundaries for different satellites do not match, there is a variable time delay between the generation of control signals and NCO control time. This delay may be measured by counting a number of samples in the delay interval. A proposed system measures non-energy parameters of the BPSK-signal carrier received in additive mixture with noise when a digital loop filter of PLL controls NCO with a constant or changing in time delay. A control unit controls bandwidth and a LF order by changing transfer coefficients based on analyzing estimated signal parameters and phase tracking error at a PD output.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 14/117,091, filed on Nov. 12, 2013, which is a US National Phase of PCT/RU2013/000543, filed on Jun. 6, 2013, which are both incorporated by reference herein in their entirety.

BACKGROUND OF THE INVENTION

Phase, frequency and rate of change of frequency are parameters independent of energy of the input signal (i.e., they are non-energy parameters). There are conventional methods of estimating non-energy parameters of a signal based on processing of variables received from a phase locked loop (PLL).

A method and apparatus are used for estimating changing frequency of a signal received by a satellite receiver, see U.S. Pat. No. 7,222,035. The system includes a PLL having a numerically controlled oscillator (NCO) and a filter of frequency estimates (FFE). The PLL tracks the changing signal frequency and outputs non-smoothed frequency estimates into the FFE. The FFE then smoothes noise in the signal to produce a more accurate smoothed frequency estimate of the input signal.

Efficient detection and signal parameter estimation with application to high dynamic range GPS receivers, see U.S. Pat. No. 4,959,656. This publication describes an apparatus for obtaining estimates of signal parameters, such as carrier phase and frequency. The described system employs an adaptive Hilbert transform in a phase locked loop to estimate the parameters.

A system according to K. Sithamparanathan, Digital-PLL Assisted Frequency Estimation with Improved Error Variance, Create-Net Int. Res. Centre, Trento, IEEE Globecom, Nov. 30, 2008-Dec. 4, 2008, includes a PLL having NCO and a moving average filter (MAF) having N-samples length. The frequency estimates are produced by MAF using the frequency information contained in the phase error process of the digital PLL. The precision of frequency estimation when using this method is proportional to 1/N.

An apparatus and method described in U.S. Pat. No. 7,869,554 use a PLL and provide a phase estimation of the input signal from which signal frequency is estimated by a derivative function and low pass filtering.

A digital PLL described in U.S. Pat. No. 4,771,250 generates signal phase which is an approximation of the phase of a received signal with a linear estimator. The effect of a complication associated with non-zero transport delays related to the digital PLL is then compensated by a predictor. The estimator provides recursive estimates of phase, frequency, and higher order derivatives, while the predictor compensates for transport lag inherent in the loop.

K. De Brabandere et al., Design and Operation of a Phase-Locked Loop with Kalman Estimator-Based Filter for Single-Phase Applications, IEEE 2006, describes the design procedure of a Phase-Locked Loop (PLL) preceded by a Kalman estimator-based filter. It provides a highly accurate and fast estimate of the 50 Hz electrical grid frequency and phase angle in grid-connected power electronic applications. A Kalman filter is placed before the PLL in order to ensure that the PLL input matches an ideal sinusoidal waveform as closely as possible at all times, even when the voltage is highly distorted by the presence of harmonics. This ensures fast and low-distortion operation of the PLL for single-phase applications.

A method of measuring frequency for sinusoidal signals according to U.S. Pat. Publication No. 2011/0050998, published Aug. 31, 2009, entitled Digital Phase Lock Loop Configurable As A Frequency Estimator, provides for obtaining a current signal phase as an argument of the complex number, in-phase samples being a real part of the number, while the quadrature samples of quadrature signal decomposition components, converted into digital form and filtered, are the imaginary part of the number; receiving and storing a data block from sequential current differences in signal phases; generating a weight function in accordance with the given mathematical equations, which are used to estimate signal frequency.

However, the above methods provide measurements when there is no NCO control delay. The objective, therefore, is to obtain estimates of the input signal phase and its derivatives when there is a constant or changing in time delay of NCO control, and the addition of the control unit allows changing the bandwidth and the order of PLL to reduce fluctuation and dynamic errors.

SUMMARY OF THE INVENTION

Receivers of signals from navigation satellites (e.g., GPS, Galileo, etc.) have a large number of channels, in which the phase discriminators and loop filter of phase locked loop (PLL) operate in phase with the data bits and control numerically controlled oscillator (NCO) carried out simultaneously in all the channels. Since the boundaries of symbols for different satellites do not match, there is a variable time delay between generation of control signals and NCO control moment. This delay may be measured, for example, by counting the number of samples in the delay interval.

A delay meter measures of said delay of the NCO control wherein the loop filter (LF) and the estimate unit of non-energy signal parameters operates based on the measured delay. The system also includes a control unit that controls bandwidth and order of PLL by changing transfer coefficients of LF on the basis of analyzing the estimated signal parameters and signal at the output of the phase discriminator.

Accordingly, the present invention is related to a method and system for estimating the non-energy signal parameters using a controllable digital Phase Locked Loop that substantially obviates one or more of the disadvantages of the related art.

Additional features and advantages of the invention will be set forth in the description that follows, and in part will be apparent from the description, or may be learned by practice of the invention. The advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

It is to be understood that the general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed.

BRIEF DESCRIPTION OF THE ATTACHED FIGURES

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiment of the invention and together with the description serve to explain the principles of the invention.

In the drawings:

FIG. 1 is a functional block diagram for an embodiment of the invention.

FIG. 2A is a functional block diagram of a mixer unit for a real input process.

FIG. 2B is a functional block diagram of a mixer unit for a complex input process.

FIG. 3 is a functional block diagram of an accumulator unit.

FIG. 4 is a functional block diagram of a phase discriminator.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

Reference will now be made in detail to the preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings.

FIG. 1 shows a functional block diagram for an embodiment of the invention.

The measuring system includes a digital PLL with a controllable loop filter (LF), a control unit (CU), a delay meter and an estimator unit (EU) of signal parameters. A digital PLL consists of the following primary components: a digital mixer, an accumulator unit (AU), a phase discriminator (PD), a controllable loop filter (LF), and a numerically controlled oscillator (NCO).

Let the input of the mixer unit receive digital samples of a real analog process U_(a)(t)=U_(c)(t)+U_(G)(t) representing an additive mixture of Binary Phase Shift Key (BPSK)-signal U_(c)(t) and noise U_(G)(t). The desired signal Uc(t) is equal to

U _(c)(t)=A _(c) cos[2πφ_(c)(t)+D·π]  (1)

where A_(c) is the amplitude of the signal,

φ_(c)(t)=∫f_(c)(t)dt+φ₀ is the signal phase [in cycles],

f_(c)(t) is the signal frequency [Hz],

φ₀(t) is the initial phase [in cycles],

D is a data (+1 or −1).

Signal phase φ_(c)(t), signal frequency f_(c)(t) and rate of change of frequency {dot over (f)}_(c)(t) are the parameters that need to be estimated (measured).

Input samples U_(n)=U_(a)(n·T_(s)), where T_(s) is the sampling period, n=0, 1, 2, . . . , are multiplied by digital samples of complex sinusoidal signal from NCO (FIG. -2A):

$\begin{matrix} \left. \begin{matrix} {I_{n}^{NCO} = {A_{NCO}{\cos \left( {2\; \pi \; \phi_{n}^{NCO}} \right)}}} \\ {Q_{n}^{NCO} = {A_{NCO}{\sin \left( {2\; \pi \; \phi_{n}^{NCO}} \right)}}} \end{matrix} \right\} & (2) \end{matrix}$

where A_(NCO) is the amplitude of complex sinusoidal signal, and φ_(n) ^(NCO) is phase in cycles. Multiplication results for a digitized real input signal is

$\begin{matrix} \left. \begin{matrix} {I_{n} = {U_{n} \cdot I_{n}^{NCO}}} \\ {Q_{n} = {U_{n} \cdot Q_{n}^{NCO}}} \end{matrix} \right\} & (3) \end{matrix}$

For a digitized complex input signal (U_(n) ¹, U_(n) ^(Q)), the mixer (FIG. 2B) operates based on equation:

$\begin{matrix} \left. \begin{matrix} {I_{n} = {{U_{n}^{I} \cdot I_{n}^{NCO}} + {U_{n}^{Q} \cdot Q_{n}^{NCO}}}} \\ {Q_{n} = {{U_{n}^{Q} \cdot I_{n}^{NCO}} - {U_{n}^{I} \cdot Q_{n}^{NCO}}}} \end{matrix} \right\} & (4) \end{matrix}$

The samples I_(n) and Q_(n) are fed to the inputs of an accumulators unit (AU) with reset to the period T_(c)(FIG. 3) which is synchronized with the boundaries of binary symbols and equal to the symbol duration. The reset period of accumulators T_(c) is the control period in the PLL. The generated complex samples (I_(i) ^(Σ),Q_(i) ^(Σ)) at the outputs of the accumulators unit are fed to the inputs of the phase discriminator producing signal z_(i) ^(d) e.g., as shown in FIG. 4. The phase discriminator contains a determinant of the symbol character {circumflex over (μ)}_(i) (sign), a low-pass filter (LPF) smoothing an in-phase component I_(i) ^(s) from output of the accumulator with reset multiplied by {circumflex over (μ)}_(i) that is {circumflex over (μ)}_(i)·I_(i) ^(Σ) and z_(i) ^(d) is calculated based on equation:

z _(i) ^(d)=arctg({circumflex over (μ)}_(i) ·Q _(i) ^(Σ) /I _(i) ^(LPF))  (5)

where Q_(i) ^(Σ)—a quadrature component from output of the accumulator with reset, I_(i) ^(LPF) is a LPF output.

Signal z_(i) ^(d) from the PD output comes to the controllable digital loop filter (LF) that controls the NCO, wherein there may be a constant or a changing time delay of NCO control.

At the beginning of operation, the order of the loop filter is set considering a priori information about a movement pattern.

By analyzing z_(i) ^(d) at the output of the PD and estimated parameters the control unit changes the loop filter bandwidth and the loop filter order by changing transfer coefficients.

The control unit changes the loop filter bandwidth by varying auxiliary variable k_(i)(k_(min)≦k_(i)≦k_(max)) that is used for calculation of LF transfer coefficients based on the following equations:

in a first-order loop filter k_(min)=1

α_(i)=1/(k _(i)+1)  (6)

in a second-order loop filter k_(min)=2

$\begin{matrix} \left. \begin{matrix} {\alpha_{i} = {\frac{6}{\left( {k_{i} + 1} \right)} - \frac{2}{k_{i}}}} \\ {\beta_{i} = \frac{6}{k_{i}\left( {k_{i} + 1} \right)}} \end{matrix} \right\} & (7) \end{matrix}$

in a third-order loop filter k_(min)=3

$\begin{matrix} {\left. \begin{matrix} \begin{matrix} {\alpha_{i} = {\left( {{9 \cdot k_{i}^{2}} - {9 \cdot k_{i}} + 6} \right)/D}} \\ {\beta_{i} = {\left( {{36 \cdot k_{i}} - 18} \right)/D}} \end{matrix} \\ {\gamma_{i} = {60/D}} \end{matrix} \right\} {where}} & (8) \\ {D = {k_{i}^{3} + {3 \cdot k_{i}^{2}} + {2 \cdot k_{i}}}} & (9) \end{matrix}$

From equations (6)-(9) it follows that as variable k_(i) increases, LF transfer coefficients decreases, and hence the bandwidth reduces as well. And otherwise, as variable k_(i) decreases, LF bandwidth increases. Value k_(i)=k_(max) corresponds to the minimum bandwidth of PLL.

A delay meter (DM) measures delay τ of the NCO control wherein the loop filter and the estimate unit operates based on the measured delay. Signal z_(i) ^(d) from the PD output and measured delay z comes to the controllable digital loop filter (LF). The third order loop filter with transfer gains α_(i),β_(i),γ_(i), described by the following recurrence equations a) and b), where

$\mspace{20mu} {{v = {\tau/T_{c}}},{q_{i} \equiv {z_{i}^{d} - {v \cdot \left( {\phi_{i - 1 + v}^{NCO} - \phi_{i - 2 + v}^{NCO}} \right)} + {\frac{v^{2}}{2} \cdot g_{i - 1 + v}^{NCO}} + {\frac{\left( {2 - v} \right) \cdot v}{2} \cdot g_{i - 2 + v}^{NCO}} - {\frac{v^{2}}{2} \cdot {\hat{s}}_{i - 1}}}}}$ $\mspace{20mu} {z_{i + v}^{q} \equiv {\left\lbrack {\alpha_{i} + {\frac{\left( {1 + {2 \cdot v}} \right)}{2} \cdot \beta_{i}} + {\frac{v \cdot \left( {1 + v} \right)}{2} \cdot \gamma_{i}}} \right\rbrack \cdot q_{i}}}$

a) for the case of frequency controlled NCO

$\begin{matrix} {\left. \begin{matrix} {\phi_{i + v}^{NCO} = {\phi_{i - 1 + v}^{NCO} + g_{i - 1 + v}^{NCO}}} \\ {g_{i + v}^{NCO} = {g_{i - 1 + v}^{NCO} + s_{i - 1} + {\left\lbrack {\beta_{i} + {\left( {1 + v} \right) \cdot \gamma_{i}}} \right\rbrack \cdot q_{i}} + z_{i + v}^{q}}} \\ {s_{i} = {s_{i - 1} + {\gamma_{i} \cdot q_{i}}}} \\ {z_{i + v}^{\omega} = {g_{i + v}^{NCO}/\left( {T_{c} \cdot \Delta_{f}^{NCO}} \right)}} \end{matrix} \right\},} & (10) \end{matrix}$

b) for the case of frequency-phase controlled NCO

$\begin{matrix} \left. \begin{matrix} {\phi_{i + v}^{NCO} = {\phi_{i - 1 + v}^{NCO} + g_{i - 1 + v}^{NCO} + z_{i + v}^{q}}} \\ {g_{i + v}^{NCO} = {g_{i - 1 + v}^{NCO} + s_{i - 1} + {\left\lbrack {\beta_{i} + {\left( {1 + v} \right) \cdot \gamma_{i}}} \right\rbrack \cdot q_{i}}}} \\ {s_{i} = {s_{i - 1} + {\gamma_{i} \cdot q_{i}}}} \\ {z_{i + v}^{\phi} = {z_{i + v}^{q}/\Delta_{\phi}^{NCO}}} \\ {z_{i + v}^{\omega} = {g_{i + v}^{NCO}/\left( {T_{c} \cdot \Delta_{f}^{NCO}} \right)}} \end{matrix} \right\} & (11) \end{matrix}$

Digital phase samples Z_(i+ν) ^(φ) (phase codes) are fed to the NCO phase control input and abruptly change its phase by the corresponding value (in radian) Z_(i+ν) ^(NCO)=Z_(i+ν) ^(φ)·Δ_(φ) ^(NCO), where Δ_(φ) ^(NCO) is the phase step size (in radian) in the NCO. Samples Z_(i+ν) ^(ω) (frequency codes) are delivered to the NCO frequency input and determine its frequency ω_(i+ν) ^(NCO)=z_(i+ν) ^(ω)·Δ_(ω) ^(NCO) (in radians), where Δ_(ω) ^(NCO) is the frequency step size (in radians) in the NCO. Since NCO frequency is constant over the entire interval T_(c), NCO phase changes linearly on intervals T_(c).

An estimator unit connected to the loop filter estimates a received signal phase {circumflex over (φ)}_(i) ^(c) (radian) and its derivatives−frequency {circumflex over (ω)}_(i) ^(c) (radians) and a changing rate of the input signal frequency {circumflex over ({dot over (ω)}_(i) ^(c) (radian/s²) in accordance with the following recurrence equation:

$\begin{matrix} \left. \begin{matrix} {{\hat{\phi}}_{i}^{c} = {\phi_{i + v}^{NCO} - {g_{i + v}^{NCO} \cdot v} + {\frac{1}{2} \cdot s_{i} \cdot \left\lbrack {v^{2} + v + \frac{1}{6}} \right\rbrack}}} \\ {{\hat{\omega}}_{i}^{c} = {\omega_{i + v}^{c} - {s_{i} \cdot {\left( {v + \frac{1}{2}} \right)/T_{c}}}}} \\ {{\hat{\overset{.}{\omega}}}_{i}^{c} = {s_{i}/T_{c}^{2}}} \end{matrix} \right\} & (12) \end{matrix}$

At γ_(i)0 the order of the loop filter will be second, and if β_(i)=0 as well, LF will be a first-order filter.

If |z_(i) ^(d)| at the PD output does not exceed the preset threshold z_(thr) ^(d)>0, the control block reduces LF bandwidth by increasing variable k_(i) by Δ_(k), and thereby reducing fluctuation errors of estimates for the signal parameters, i.e.:

if |Z _(i) ^(d) |≦z _(thr) ^(d), then

k _(i) =k _(i−1)+Δ_(k),  (13)

where Δ_(k)>0 if the obtained value

k _(i) >k _(max) then k _(i) =k _(max)  (14)

The threshold z_(thr) ^(d) is selected based on compromise considerations: too high threshold means the adaptation process will be long, and will have errors in the estimate during rapid changes in the input, while too low value will lead to a worse estimate during operation that is close to steady state.

If value |z_(i) ^(d)| at the PD output exceeds the preset threshold z_(thr) ^(d), and the order of the loop filter N^(LF) is less than maximum preset value N_(max) ^(LF), the control unit increases by 1 the order of the loop filter to reduce dynamic errors. The order of the loop filter is usually chosen as N^(LF)≦4. If value |z_(i) ^(d)| at the PD output exceeds the preset threshold z_(thr) ^(d), and the order of the loop filter N^(LF) is equal to the maximum preset value N_(max) ^(LF), the control block increases the LF bandwidth to reduce dynamic errors, i.e.

if

|z _(i) ^(d) |>z _(thr) ^(d) then k _(i) =k _(i−1) /r where r>1  (15)

if the obtained value

k _(i) <k _(min), then k _(i) =k _(min)  (16)

Typical values are 1<r<4.

Having thus described the invention, it should be apparent to those skilled in the art that certain advantages of the described method and apparatus have been achieved.

It should also be appreciated that various modifications, adaptations, and alternative embodiments thereof may be made within the scope and spirit of the present invention. The invention is further defined by the following claims. 

What is claimed is:
 1. 1. A system for estimating non-energy parameters of a signal carrier, the system comprising: a digital phase locked loop (PLL) that tracks an input signal and includes (i) a digital numerically controlled oscillator (NCO) configured to generate a complex sinusoidal signal, (ii) a digital mixer configured to down-convert a digitized version of the input signal to a base-band complex signal centered at a zero frequency using the output of the NCO, (iii) an accumulator unit (AU) including two accumulators with a reset connected to outputs of the digital mixer, and (iv) a phase discriminator (PD) coupled to outputs of the AU; (v) a digital loop filter (LF) connected to the PD output for controlling the NCO, wherein a time delay of the PD output is variable; an estimator unit (EU) connected to the LF and estimating a phase of the input signal and derivatives of the phase as the non-energy parameters; and a delay meter measuring a delay of the PD output and providing the delay to the LF and EU.
 2. The system of claim 1, further comprising a bandwidth controller that controls bandwidth of the PLL and an order of the LF by changing transfer coefficients of the LF based on analyzing the PD output and the estimated non-energy signal parameters.
 3. A system for estimating non-energy parameters of a signal carrier, the system comprising: a digital phase locked loop (PLL) that tracks an input signal and includes (i) a digital numerically controlled oscillator (NCO) configured to generate a sinusoidal signal, (ii) a digital mixer configured to down-convert a digitized input signal to a base-band signal centered at a zero frequency using the sinusoidal signal, (iii) an accumulator unit (AU) including two accumulators with a reset connected to the digital mixer, and (iv) a phase discriminator (PD) coupled to outputs of the AU; (v) a digital loop filter (LF) connected to the PD output for controlling the NCO; an estimator unit (EU) connected to the LF and estimating a phase of the input signal and a derivative of the phase; and a bandwidth controller that controls PLL bandwidth and an order of the LF by changing transfer coefficients of the LF based on the PD output and the estimated non-energy signal parameters.
 4. The system of claim 3, wherein initial values of the PLL bandwidth and of the LF order are set based on motion of the system.
 5. The system of claim 3, wherein fluctuation errors of the estimated signal parameters are reduced by making a bandwidth of the LF fade down from a maximum value to a minimum value or until the PD output exceeds a preset threshold.
 6. The system of claim 5, wherein the order of the LF is equal to a maximum preset order, the bandwidth controller expands the bandwidth of the LF when the PD output exceeds the preset threshold, to thereby reduce dynamic errors of estimated non-energy signal parameters.
 7. The system of claim 3, wherein the bandwidth controller sets a reduced order of the LF such that a bandwidth of the LF does not change substantially despite order change.
 8. The system of claim 3, wherein the bandwidth controller analyzes the estimate of the N-th signal phase derivative at the N-th order LF (N^(LF)≠1) and reduces an order of the LF by 1 if the estimate value is less than 5 standard deviations of the estimate of the (N^(LF)−1)-th signal phase derivative.
 9. The system of claim 3, wherein the bandwidth controller increases an order of the LF when the PD output exceeds a preset threshold.
 10. The system of claim 3, wherein the bandwidth controller controls a bandwidth of the PLL by changing transfer coefficients of the LF and calculating a parameter k_(min)≦k_(i)≦k_(max) that are used to calculate transmission coefficients of the LF based on equations: in a first-order adaptive filter k_(min)=1 α_(i)=1/(k _(i)+1), in a second-order adaptive filter k_(min)=2 $\left. \begin{matrix} {\alpha_{i} = \frac{{4\; k_{i}} + 1}{k_{i}\left( {k_{i} + 1} \right)}} \\ {\beta_{i} = \frac{6}{k_{i}\left( {k_{i} + 1} \right)}} \end{matrix} \right\},$ in a third-order adaptive filter k_(min)=3 $\left. \begin{matrix} \begin{matrix} {\alpha_{i} = {\left( {{9 \cdot k_{i}^{2}} + {9 \cdot k_{i}} - 3} \right)/D}} \\ {\beta_{i} = {\left( {{36 \cdot k_{i}} + 42} \right)/D}} \end{matrix} \\ {\gamma_{i} = {60/D}} \end{matrix} \right\},$ where D=k_(i) ³+3·k_(i) ²+2·k_(i) and k_(max)>>1
 11. The system of claim 3, wherein the bandwidth controller narrows bandwidth of the PLL according to k_(i)=k_(i−1) 30 Δ_(k), where Δ_(k)>0, if the PD output is below a predetermined threshold.
 12. The system of claim 3, wherein the bandwidth controller expands bandwidth of the PLL according to k_(i)=k_(i−1)/r, where r>1, if the PD output exceeds assigned a predetermined threshold and when a current order of the LF is equal to the maximum preset order, and when k _(i) <k _(min) then k _(i) =k _(min).
 13. The system of claim 3, wherein the bandwidth controller changes an order of the PLL such that the transfer coefficients of the LF change but a bandwidth of the LF is substantially unchanged.
 14. The system of claim 3, wherein a time delay of the PD output is variable. 